Matthew Decker
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
Papers in
-
- Acute Myeloid Leukemia Research 4
- Hematopoietic Stem Cell Transplantation 4
- Platelet Disorders and Treatments 2
- Chronic Myeloid Leukemia Treatments 1
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- Ubiquitin and proteasome pathways 2
- Protein Degradation and Inhibitors 1
- Histone Deacetylase Inhibitors Research 1
- Co-authors
- Lei Ding (5 shared papers)Juliana Leslie (2 shared papers)Qingxue Liu (2 shared papers)Yeojin Lee (2 shared papers)Guannan Wang (1 shared paper)Jennifer J. Westendorf (2 shared papers)Xiaodong Li (1 shared paper)Meghan E. McGee‐Lawrence (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (1 paper)Blood (1 paper)BioEssays (1 paper)Nature Cell Biology (1 paper)Blood Cells Molecules and Diseases (1 paper)
- Partner nations
- United States
In The Last Decade
Matthew Decker
9 papers receiving 316 citations
Peers
Comparison fields: 5 of 49
- Hematology 161
- Genetics 126
- Immunology 70
- Rheumatology 32
- Molecular Biology 112
Countries citing papers authored by Matthew Decker
This map shows the geographic impact of Matthew Decker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Decker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Decker more than expected).
Fields of papers citing papers by Matthew Decker
This network shows the impact of papers produced by Matthew Decker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Decker. The network helps show where Matthew Decker may publish in the future.
Co-authors
The 21 scholars most cited alongside Matthew Decker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 125 | |
| 2 | 2018 | 93 | |
| 3 | 2010 | 32 | |
| 4 | 2010 | 24 | |
| 5 | 2018 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2021 | 9 | |
| 8 | 2022 | 2 | |
| 9 | 2024 | 1 |
About Matthew Decker
Matthew Decker is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Organic Chemistry and Genetics, having authored 9 papers that have together received 319 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Ubiquitin and proteasome pathways (2 papers), Platelet Disorders and Treatments (2 papers), Chronic Myeloid Leukemia Treatments (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Protein Degradation and Inhibitors (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Hematology (161 citations), Genetics (126 citations), Immunology (70 citations), Rheumatology (32 citations) and Molecular Biology (112 citations). Matthew Decker has collaborated with scholars based in United States. Frequent co-authors include Lei Ding, Juliana Leslie, Qingxue Liu, Yeojin Lee, Guannan Wang, Jennifer J. Westendorf, Xiaodong Li, Xiaodong Li, Meghan E. McGee‐Lawrence and Shawn Sarkaria. Their work appears in journals such as Journal of Cellular Biochemistry, Blood, BioEssays, Nature Cell Biology and Blood Cells Molecules and Diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.